Jörg Schwiebert

Overview

Jörg Schwiebert is an econometrician at Leuphana University Lüneburg (Germany). His work focuses on decomposition methods for nonlinear econometric models, extending the classical Oaxaca-Blinder framework to settings where the conditional mean is a nonlinear function of covariates (probit, logit, Tobit, etc.).

Key Contributions / Features

• MV decomposition (2015): Proposed a mean-value-theorem-based decomposition for nonlinear models that is exact (no linearisation residual), unique (no path dependence), and uses all $n_1 \times n_2$ cross-group observation pairs. Published in Journal of Economic Inequality 13(1): 53–67.

Related

• Oaxaca-Blinder Decomposition
• A Detailed Decomposition for Nonlinear Econometric Models